Update README.md

README.md

@@ -39,7 +39,8 @@ This variant features a **32,768 token context window**, optimized for processin
 - **Code Generation:** Writing and debugging algorithms.
 - **Structured Data Extraction:** Parsing and reasoning over unstructured text.
 
-> **Note:** This is a base reasoning model. For conversational chat, we recommend using a specific instruct template or fine-tuning on your domain data.
+> **Note:** This is a post-trained reasoning variant intended for evaluation and experimentation.  
+> It is not production-validated and is not optimized for open-ended conversational chat.
 
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@@ -68,9 +69,9 @@ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 ## 🏗️ Technical Summary
 
-The model was produced using a **multi-stage optimization process** involving large-scale supervision and iterative refinement. It is designed to maximize reasoning quality while maintaining instruction robustness.
+This model has undergone post-training to enhance reasoning behavior and robustness under agentic workloads.
 
-*Specific training methodologies and dataset compositions are proprietary.*
+Detailed post-training recipes and dataset compositions are not fully disclosed.
 
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